Product Owner, Event Technology

Product Ownership

Own the end-to-end product lifecycle for the digital event platform—from vision and strategy to backlog, sprint planning, and release.

Create, manage, and prioritize a dynamic product backlog aligned with business objectives and stakeholder needs.

Develop and maintain roadmaps, user stories, features, and acceptance criteria.

Serve as the customer proxy and primary voice for users during agile ceremonies (standups, sprint planning, retrospectives).

Ensure technical integrity and feasibility of feature delivery by collaborating with Dev, QA, UX, and Ops teams.

Primary POC for event technology including vendor management

Plays significant role in quality control and is the only team member empowered to accept stories as done.

Platform & Process Ownership

Oversee the day-to-day operations of the event platform including performance monitoring, troubleshooting, and enhancements.

Lead end to end Event Technology initiatives including using research and discovery, development of user flows, wireframes, and stories (with UX/Design), and ongoing optimization in an Agile manner using Scrum methodology.

Define and improve operational workflows related to event creation, setup, customer support, analytics, and post-event follow-up.

Identify and resolve platform-related issues and blockers in a timely, customer-first manner.

Collaborate with marketing, events, customer support, and vendor partners to ensure seamless event execution.

Stakeholder Collaboration

Act as the single point of contact across marketing, portfolio owners, experience teams, and development.

Facilitate business requirements gathering and clearly communicate technical options, timelines, and impact.

Ensure transparency and alignment by maintaining backlog visibility and regular updates for stakeholders.

Data-Driven Strategy

Use data and analytics (Adobe, Tableau, VOC, etc.) to guide decisions, assess performance, and identify improvement opportunities.

Data steward for their respective area, responsible for defining, measuring, and synthesizing the needs and output of the data assets associated with their backlog, as well as understanding the interrelationship of PMI’s enterprise data assets.